RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Inuvika OVD Enterprise
Inuvika OVD Enterprise is a desktop virtualization solution that gives users secure access to their apps and virtual desktops from anywhere. Inuvika embraces the zero-trust principle, ensuring secure access and leaving no data on user devices. OVD Enterprise reduces complexity for admin and lowers the total cost of ownership by up to 60% when compared to Citrix or VMware/Omnissa Horizon.
It can be deployed on-premise or through any private of public cloud platform provider. It is also available as a DaaS service through our network of Managed Services Providers.
OVD is easy to install and manage. It integrates with leading enterprise standards, including any directory service, storage and hypervisors such as Proxmox VE, vSphere, Nutanix AHV and Hyper-V.
Key Features:
Use any device, including macOS, Windows, Linux, iOS/Android, Chromebook, Raspberry Pi, or any HTML5 Web browser.
Multi-tenancy support
Integrated Two-Factor Authentication
Integrated Gateway enables secure remote access without a VPN
Single Web-based Admin console
Deploys on Linux so most Microsoft Windows server and SQL server licenses are not required.
Hypervisor agnostic - ProxmoxVE, Hyper-V, vSphere, KVM, Nutaxix AVH and more.
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Tornado Web Server
Tornado is a web framework for Python that also serves as an asynchronous networking library, initially created at FriendFeed. Utilizing non-blocking network I/O, it has the capability to manage tens of thousands of simultaneous connections, making it particularly suited for applications requiring long-lived user connections, such as long polling and WebSockets. Unlike most Python web frameworks, Tornado does not follow the WSGI standard and is primarily operated with a single thread per process. Although the tornado.wsgi module offers some WSGI compatibility, it is not the main focus of development, and developers are encouraged to utilize Tornado’s own interfaces, like tornado.web, for building applications. It is important to note that Tornado code is generally not designed to be thread-safe. Since version 5.0, Tornado has been integrated with Python's standard library asyncio module, sharing the same default event loop. This integration allows for seamless mixing of libraries that are built for asyncio with Tornado, enhancing its versatility and functionality. As a result, developers can create highly efficient applications that leverage both Tornado's strengths and asyncio's capabilities.
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Node.js
Node.js serves as an asynchronous event-driven JavaScript runtime specifically engineered for creating scalable network applications. Each time a connection is made, a callback function is triggered; however, if there are no tasks to execute, Node.js enters a sleep state. This approach stands in stark contrast to the more prevalent concurrency model that relies on operating system threads. Networking based on threads can be quite inefficient and often presents significant usability challenges. Additionally, Node.js users don't have to concern themselves with the complications of dead-locking the process since the architecture does not utilize locks. In fact, very few functions within Node.js handle I/O directly, ensuring that the process remains unblocked except when synchronous methods from Node.js's standard library are utilized. This non-blocking nature makes it highly feasible to develop scalable systems using Node.js. The design of Node.js shares similarities with, and draws inspiration from, frameworks like Ruby's Event Machine and Python's Twisted, extending the event model even further. Notably, Node.js incorporates the event loop as an integral runtime feature rather than relegating it to a mere library, thus enhancing its efficiency and functionality. This distinctive approach makes Node.js an attractive choice for developers looking to create high-performance applications.
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